LinkedIn Has Decided I Am a Dynamic Thought Leader and I'm Too Tired to Argue

Last Tuesday, LinkedIn informed me that I was "a strong match" for a Director of Strategic Innovation role at a logistics company in Memphis. I have never worked in logistics. I have never been to Memphis. I did once describe myself in a bio as someone who "bridges creative and operational thinking," which is the professional equivalent of saying you're "a people person" — technically defensible, essentially meaningless, and apparently enough for an algorithm to conclude I should be directing strategy for a mid-sized freight company.

I did not apply. But I thought about it longer than I'd like to admit.

The Algorithm Sees You, Specifically It Sees a Version of You It Made Up

LinkedIn's recommendation engine is doing something philosophically interesting underneath all the cringeworthy content and unsolicited recruiter messages. It is constructing a professional identity for you based on signal inputs that are, charitably, oblique.

Those inputs include: the words in your job titles, which are often chosen to sound impressive rather than to accurately describe what you do. The skills you've been endorsed for by people who clicked a button once and have not thought about you since. The posts you've paused on while scrolling, which the algorithm interprets as engagement but which you paused on because the thumbnail was confusing or the take was so bad it briefly paralyzed you. The jobs you've viewed at 11 p.m. on a Sunday when the ambient dread peaks and you briefly wonder whether the entire trajectory of your career was a mistake.

From these inputs, LinkedIn builds a person. That person is then offered opportunities, shown content, and connected with "people you may know" who are almost always people you have actively chosen not to know.

The person LinkedIn has built from my data is, by all available evidence, a mid-career professional with a strong background in "content strategy" (I wrote some things), "stakeholder management" (I have been in meetings), and "cross-functional collaboration" (I have emailed people in other departments). This person is apparently interested in executive education, has opinions about AI's impact on the workforce, and is "open to work" in a way that I am definitely not, or at least not in the way LinkedIn means it.

The Job Title Industrial Complex

A significant portion of the chaos is traceable to the spectacular meaninglessness of modern job titles, which have evolved from functional descriptions into aspirational branding exercises that obscure more than they reveal.

Consider: "Growth Hacker." "Chief Happiness Officer." "Ninja" anything. "Evangelist." "Wizard." "Head of People" (this one means HR, but it sounds like you run a small fiefdom). These titles are designed to communicate dynamism and importance to humans reading them, but they communicate something entirely different to an algorithm trying to pattern-match you against open roles.

I know someone whose title is "Director of Community and Belonging." She runs HR for a 200-person tech company, which is a completely real and important job. LinkedIn, interpreting her title through its pattern-matching lens, has decided she would be an excellent fit for positions at nonprofits, a community organizing role with a city government, and — this is real — a retreat center in Vermont that needed someone to manage their "belonging initiatives," which turned out to mean housekeeping logistics.

The algorithm is not stupid. It is working with the data it has. The data it has is, largely, nonsense.

The Authenticity Question, Which I Didn't Expect to Get Weird

Here is where it gets uncomfortable: the version of me that LinkedIn has assembled from job titles, endorsements, and 11 p.m. browsing history might actually be a more coherent professional narrative than the one I would construct if asked.

Because if you ask me to describe my professional identity, I will give you something that sounds like I'm reading from four different drafts of a cover letter simultaneously. I have done things that don't obviously connect. I have interests that span categories that LinkedIn doesn't have a dropdown for. I have spent years collecting experiences that made sense in the moment and form, in retrospect, a shape I still can't quite name.

The algorithm, unbothered by my existential confusion, simply looked at the data and said: this person is probably a mid-level creative operations professional with leadership aspirations and a soft interest in the future of work. And while I resent the reduction, I cannot entirely argue with the output.

There's a small and unsettling literature on the gap between our "actual self" and our "digital self" — the idea that the version of us assembled from behavioral data is capturing something our self-presentation obscures. We perform coherence for our resumes and LinkedIn profiles. We claim clarity we don't have. We describe ourselves in confident present tense when we are, internally, mostly a question.

The algorithm doesn't receive the performance. It receives the behavior. And sometimes the behavior is more honest.

The Recommendations as Rorschach Test

I have started treating my LinkedIn recommendations as a kind of unintentional personality assessment. Not because they're accurate — the Memphis logistics thing remains inexplicable — but because the pattern of what the algorithm thinks I want is a reasonable mirror of what I've been projecting.

When it recommends me for roles heavy on "strategic communications," I see the years I spent trying to make complicated things legible. When it surfaces content about organizational culture, I see the fact that I've apparently clicked on enough pieces about bad management to register as someone with opinions about good management. When it suggests I connect with a series of people who all have the word "transformation" in their titles, I see that I have been using that word too frequently in my own profile and have accidentally self-selected into a tribe.

None of this is who I am, exactly. All of it is who I've been signaling I am, which is its own kind of information.

What To Do With This, If Anything

I don't have a clean resolution here. I haven't deleted my LinkedIn — I tried that once and experienced a low-grade professional anxiety that lasted until I reinstated it, which tells you something about the platform's grip that I'd rather not examine too closely.

What I've done instead is start reading my recommendations the way you'd read a horoscope: not as truth, but as a prompt. The Memphis logistics job was not for me. But the fact that "strategic innovation" showed up in the title is worth sitting with. What am I actually trying to innovate? For whom? Toward what?

The algorithm can't answer those questions. It can only reflect the data back, slightly scrambled, in the form of job postings and content suggestions and connection requests from people named Brad who want to "connect and explore synergies."

The confused mess I present in person remains my problem to sort out. LinkedIn's parallel-universe version of me, the dynamic thought leader who is apparently open to relocation, will have to manage Memphis on his own.